The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-16"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8173940 (up from 8034504 yesterday: 1.74 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "443685 (up from 436899 yesterday: 1.55 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.43



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2137731 23705 1.12 116963 836 0.72 5.47
Brazil 923189 34918 3.93 45241 1282 2.92 4.90
Russia 544725 8241 1.54 7274 193 2.73 1.34
India 354065 10974 3.20 11903 2003 20.23 3.36
United Kingdom 299600 1285 0.43 42054 233 0.56 14.04
Spain 244328 219 0.09 27136 0 0.00 11.11
Italy 237500 210 0.09 34405 34 0.10 14.49
Peru 237156 4164 1.79 7056 196 2.86 2.98
France 194347 42 0.02 29550 111 0.38 15.20
Iran 192439 2563 1.35 9065 115 1.28 4.71
Germany 188252 570 0.30 8820 13 0.15 4.69
Chile 184449 5013 2.79 3383 21 0.62 1.83
Turkey 181298 1467 0.82 4842 17 0.35 2.67
Mexico 154863 4599 3.06 18310 730 4.15 11.82
Pakistan 154760 5839 3.92 2975 136 4.79 1.92
Saudi Arabia 136315 4267 3.23 1052 41 4.06 0.77
Canada 101087 324 0.32 8271 43 0.52 8.18
Bangladesh 94481 3862 4.26 1262 53 4.38 1.34
China 84422 44 0.05 4638 0 0.00 5.49
Qatar 82077 1201 1.48 80 4 5.26 0.10
South Africa 76334 2801 3.81 1625 57 3.64 2.13
Belgium 60155 55 0.09 9663 2 0.02 16.06
Belarus 55369 689 1.26 318 6 1.92 0.57
Sweden 53323 940 1.79 4939 48 0.98 9.26
Colombia 53211 0 0.00 1808 0 0.00 3.40
Netherlands 49295 140 0.28 6089 5 0.08 12.35
Ecuador 47943 621 1.31 3970 41 1.04 8.28
Egypt 47856 1567 3.39 1766 94 5.62 3.69
United Arab Emirates 42982 346 0.81 293 2 0.69 0.68
Singapore 40969 151 0.37 26 0 0.00 0.06
Indonesia 40400 1106 2.81 2231 33 1.50 5.52
Portugal 37336 300 0.81 1522 2 0.13 4.08
Kuwait 36958 527 1.45 303 5 1.68 0.82
Argentina 34159 1374 4.19 878 24 2.81 2.57
Ukraine 33209 673 2.07 922 11 1.21 2.78
Switzerland 31154 23 0.07 1954 15 0.77 6.27
Poland 30195 407 1.37 1272 16 1.27 4.21
Philippines 26781 361 1.37 1103 5 0.46 4.12
Afghanistan 26310 783 3.07 491 13 2.72 1.87
Ireland 25334 13 0.05 1709 3 0.18 6.75
Oman 25269 745 3.04 114 6 5.56 0.45
Dominican Republic 23686 415 1.78 615 10 1.65 2.60
Iraq 22700 1385 6.50 712 60 9.20 3.14
Romania 22415 250 1.13 1437 10 0.70 6.41
Panama 21962 540 2.52 457 9 2.01 2.08
Bolivia 19883 810 4.25 659 27 4.27 3.31
Bahrain 19553 540 2.84 47 1 2.17 0.24
Israel 19495 258 1.34 302 0 0.00 1.55
Armenia 17489 425 2.49 293 8 2.81 1.68
Japan 17484 45 0.26 934 5 0.54 5.34
Austria 17189 54 0.32 681 3 0.44 3.96
Nigeria 17148 490 2.94 455 31 7.31 2.65
Kazakhstan 15542 350 2.30 88 7 8.64 0.57
Denmark 12450 33 0.27 598 0 0.00 4.80
Serbia 12426 59 0.48 256 1 0.39 2.06
Moldova 12254 375 3.16 423 12 2.92 3.45
Korea, South 12198 43 0.35 279 1 0.36 2.29
Ghana 12193 229 1.91 58 4 7.41 0.48
Algeria 11147 116 1.05 788 11 1.42 7.07
Guatemala 10706 434 4.23 418 19 4.76 3.90
Azerbaijan 10662 338 3.27 126 4 3.28 1.18
Czechia 10111 47 0.47 331 1 0.30 3.27
Cameroon 9864 0 0.00 276 0 0.00 2.80
Honduras 9656 478 5.21 330 8 2.48 3.42
Morocco 8931 46 0.52 212 0 0.00 2.37
Norway 8660 13 0.15 242 0 0.00 2.79
Malaysia 8505 11 0.13 121 0 0.00 1.42
Sudan 7740 305 4.10 477 9 1.92 6.16
Australia 7370 23 0.31 102 0 0.00 1.38
Finland 7112 4 0.06 326 0 0.00 4.58
Nepal 6591 380 6.12 19 0 0.00 0.29
Cote d’Ivoire 5679 240 4.41 46 0 0.00 0.81
Uzbekistan 5493 230 4.37 19 0 0.00 0.35
Senegal 5247 74 1.43 70 6 9.38 1.33
Tajikistan 5160 63 1.24 50 0 0.00 0.97

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 384575 631 0.16 30909 53 0.17 8.04 19768.87 1588.86 1 in 51
New Jersey 167426 323 0.19 12792 84 0.66 7.64 18849.63 1440.19 1 in 53
California 158961 3235 2.08 5200 86 1.68 3.27 4023.08 131.60 1 in 249
Illinois 133639 623 0.47 6398 72 1.14 4.79 10546.16 504.90 1 in 95
Massachusetts 105885 195 0.18 7664 17 0.22 7.24 15236.34 1102.81 1 in 66
Texas 93569 3358 3.72 2049 48 2.40 2.19 3226.98 70.67 1 in 310
Pennsylvania 83978 389 0.47 6276 33 0.53 7.47 6559.76 490.24 1 in 152
Florida 80109 2783 3.60 2993 55 1.87 3.74 3729.86 139.35 1 in 268
Michigan 66269 184 0.28 6034 16 0.27 9.11 6635.62 604.19 1 in 151
Maryland 62409 377 0.61 2982 35 1.19 4.78 10322.91 493.24 1 in 97
Georgia 59078 664 1.14 2529 35 1.40 4.28 5564.25 238.19 1 in 180
Virginia 55331 445 0.81 1570 18 1.16 2.84 6482.44 183.94 1 in 154
Louisiana 47706 534 1.13 3042 24 0.80 6.38 10262.02 654.36 1 in 97
North Carolina 45907 793 1.76 1169 29 2.54 2.55 4377.06 111.46 1 in 228
Connecticut 45349 114 0.25 4210 6 0.14 9.28 12719.59 1180.83 1 in 79
Ohio 42010 434 1.04 2599 24 0.93 6.19 3593.95 222.34 1 in 278
Indiana 40786 356 0.88 2447 14 0.58 6.00 6058.33 363.48 1 in 165
Arizona 39185 2341 6.35 1228 25 2.08 3.13 5145.84 161.26 1 in 194
Tennessee 31751 747 2.41 493 11 2.28 1.55 4646.60 72.15 1 in 215
Minnesota 30882 189 0.62 1344 9 0.67 4.35 5475.89 238.31 1 in 183
Colorado 29427 143 0.49 1617 12 0.75 5.49 5109.98 280.79 1 in 196
Alabama 26912 640 2.44 785 11 1.42 2.92 5488.68 160.10 1 in 182
Washington 26531 373 1.43 1231 11 0.90 4.64 3484.09 161.66 1 in 287
Iowa 24179 97 0.40 665 7 1.06 2.75 7663.54 210.77 1 in 130
Wisconsin 23198 266 1.16 703 9 1.30 3.03 3984.24 120.74 1 in 251
Mississippi 20152 353 1.78 915 20 2.23 4.54 6771.17 307.44 1 in 148
South Carolina 19990 612 3.16 607 5 0.83 3.04 3882.52 117.89 1 in 258
Nebraska 17038 187 1.11 231 11 5.00 1.36 8807.86 119.42 1 in 114
Missouri 16857 246 1.48 891 4 0.45 5.29 2746.59 145.17 1 in 364
Rhode Island 16164 71 0.44 865 14 1.65 5.35 15258.25 816.53 1 in 66
Utah 14937 329 2.25 145 2 1.40 0.97 4659.14 45.23 1 in 215
Arkansas 13191 274 2.12 188 6 3.30 1.43 4371.03 62.30 1 in 229
Kentucky 12647 0 0.00 505 0 0.00 3.99 2830.78 113.03 1 in 353
Nevada 11683 368 3.25 467 2 0.43 4.00 3792.99 151.62 1 in 264
Kansas 11411 92 0.81 246 0 0.00 2.16 3916.85 84.44 1 in 255
Delaware 10403 63 0.61 424 1 0.24 4.08 10683.29 435.42 1 in 94
New Mexico 9933 88 0.89 447 7 1.59 4.50 4737.15 213.18 1 in 211
District of Columbia 9818 19 0.19 520 5 0.97 5.30 13911.46 736.81 1 in 72
Oklahoma 8645 228 2.71 363 4 1.11 4.20 2184.75 91.74 1 in 458
Oregon 6098 278 4.78 182 2 1.11 2.98 1445.80 43.15 1 in 692
South Dakota 5966 38 0.64 77 2 2.67 1.29 6743.84 87.04 1 in 148
Puerto Rico 5951 61 1.04 147 0 0.00 2.47 1863.36 46.03 1 in 537
New Hampshire 5364 19 0.36 326 6 1.88 6.08 3944.96 239.76 1 in 253
Idaho 3462 63 1.85 88 1 1.15 2.54 1931.85 49.11 1 in 518
North Dakota 3124 23 0.74 74 0 0.00 2.37 4099.40 97.10 1 in 244
Maine 2819 9 0.32 101 0 0.00 3.58 2097.14 75.14 1 in 477
West Virginia 2341 19 0.82 88 0 0.00 3.76 1309.91 49.24 1 in 763
Vermont 1131 3 0.27 55 0 0.00 4.86 1812.53 88.14 1 in 552
Wyoming 1089 10 0.93 18 0 0.00 1.65 1881.61 31.10 1 in 531
Hawaii 736 0 0.00 17 0 0.00 2.31 519.82 12.01 1 in 1924
Alaska 675 12 1.81 12 0 0.00 1.78 922.70 16.40 1 in 1084
Montana 614 5 0.82 19 0 0.00 3.09 574.49 17.78 1 in 1741

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3051778 384575 12.60 156875.03
New Jersey 1131782 167426 14.79 127421.50
California 2937755 158961 5.41 74350.54
Illinois 1229202 133639 10.87 97002.79
Massachusetts 723647 105885 14.63 104129.32
Texas 1348442 93569 6.94 46504.61
Pennsylvania 603092 83978 13.92 47109.24
Florida 1460309 80109 5.49 67991.75
Michigan 835534 66269 7.93 83663.36
Maryland 429225 62409 14.54 70996.98
Georgia 634978 59078 9.30 59805.28
Virginia 485438 55331 11.40 56872.70
Louisiana 532717 47706 8.96 114592.52
North Carolina 651421 45907 7.05 62110.58
Connecticut 361420 45349 12.55 101371.92
Ohio 568133 42010 7.39 48603.66
Indiana 363745 40786 11.21 54030.48
Arizona 354334 39185 11.06 46531.71
Tennessee 638990 31751 4.97 93512.91
Minnesota 429145 30882 7.20 76094.50
Colorado 253156 29427 11.62 43960.34
Alabama 305424 26912 8.81 62290.94
Washington 471265 26531 5.63 61887.28
Iowa 230638 24179 10.48 73100.76
Wisconsin 437528 23198 5.30 75145.21
Mississippi 240803 20152 8.37 80910.94
South Carolina 267679 19990 7.47 51989.49
Nebraska 139513 17038 12.21 72121.81
Missouri 284791 16857 5.92 46402.34
Rhode Island 203618 16164 7.94 192208.32
Utah 275700 14937 5.42 85996.14
Arkansas 205566 13191 6.42 68117.27
Kentucky 296033 12647 4.27 66261.12
Nevada 222474 11683 5.25 72228.16
Kansas 136962 11411 8.33 47012.44
Delaware 86074 10403 12.09 88393.08
New Mexico 267921 9933 3.71 127774.37
District of Columbia 67126 9818 14.63 95113.14
Oklahoma 261805 8645 3.30 66162.98
Oregon 179538 6098 3.40 42567.38
South Dakota 67202 5966 8.88 75963.73
Puerto Rico 5951 5951 100.00 1863.36
New Hampshire 98873 5364 5.43 72716.19
Idaho 65647 3462 5.27 36632.04
North Dakota 88651 3124 3.52 116330.43
Maine 72335 2819 3.90 53812.20
West Virginia 137071 2341 1.71 76698.22
Vermont 52890 1131 2.14 84761.11
Wyoming 34413 1089 3.16 59459.98
Hawaii 62028 736 1.19 43809.04
Alaska 76215 675 0.89 104183.61
Montana 63577 614 0.97 59485.69

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 113445 2701 2.44 57851 50.99 50044 5537 1409 34.13 4.88
Tamil Nadu 48019 1515 3.26 26782 55.77 20709 528 49 10.23 1.10
Delhi 44688 1859 4.34 16500 36.92 26351 1837 437 31.21 4.11
Gujarat 24628 524 2.17 17090 69.39 6004 1534 28 1.86 6.23
Uttar Pradesh 14598 507 3.60 8904 60.99 5259 435 18 4.32 2.98
Rajasthan 13216 235 1.81 9962 75.38 2946 308 7 2.33 2.33
West Bengal 11909 415 3.61 6028 50.62 5386 495 10 2.06 4.16
Madhya Pradesh 11083 148 1.35 8152 73.55 2455 476 11 2.37 4.29
State Unassigned 8273 589 7.67 0 0.00 8273 0 0 NaN 0.00
Haryana 8272 550 7.12 3748 45.31 4406 118 18 18.00 1.43
Karnataka 7530 317 4.39 4456 59.18 2975 95 6 6.74 1.26
Bihar 6810 148 2.22 4571 67.12 2200 39 1 2.63 0.57
Andhra Pradesh 6720 264 4.09 3513 52.28 3119 88 2 2.33 1.31
Telangana 5406 213 4.10 3027 55.99 2188 191 4 2.14 3.53
Jammu and Kashmir 5298 78 1.49 2781 52.49 2454 63 1 1.61 1.19
Assam 4511 201 4.66 2412 53.47 2088 8 0 0.00 0.18
Odisha 4338 175 4.20 2974 68.56 1350 14 0 0.00 0.32
Punjab 3371 104 3.18 2461 73.01 838 72 1 1.41 2.14
Kerala 2623 79 3.11 1234 47.05 1367 21 0 0.00 0.80
Uttarakhand 1942 97 5.26 1216 62.62 688 25 1 4.17 1.29
Jharkhand 1839 46 2.57 1121 60.96 709 9 0 0.00 0.49
Chhattisgarh 1784 69 4.02 934 52.35 841 9 0 0.00 0.50
Tripura 1090 1 0.09 556 51.01 533 1 0 0.00 0.09
Ladakh 649 94 16.94 85 13.10 563 1 0 0.00 0.15
Goa 629 37 6.25 85 13.51 544 0 0 NaN 0.00
Himachal Pradesh 560 4 0.72 361 64.46 181 7 0 0.00 1.25
Manipur 500 10 2.04 159 31.80 341 0 0 NaN 0.00
Chandigarh 368 11 3.08 301 81.79 61 6 0 0.00 1.63
Puducherry 216 14 6.93 99 45.83 113 4 0 0.00 1.85
Nagaland 181 2 1.12 103 56.91 78 0 0 NaN 0.00
Mizoram 121 0 0.00 1 0.83 120 0 0 NaN 0.00
Arunachal Pradesh 99 4 4.21 7 7.07 92 0 0 NaN 0.00
Sikkim 72 4 5.88 8 11.11 64 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 54 15 38.46 9 16.67 45 0 0 NaN 0.00
Andaman and Nicobar Islands 44 0 0.00 33 75.00 11 0 0 NaN 0.00
Meghalaya 44 0 0.00 28 63.64 15 1 0 0.00 2.27
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 906322 92060 143 0.16 10.16 1902 69 15233 16466 17.89
Piemonte 372948 31090 29 0.09 8.34 472 28 2450 4018 12.92
Emilia-Romagna 417184 28097 13 0.05 6.73 180 11 1405 4209 14.98
Veneto 826192 19221 1 0.01 2.33 36 1 718 1982 10.31
Toscana 296812 10191 3 0.03 3.43 34 14 463 1091 10.71
Liguria 129249 9891 4 0.04 7.65 76 2 242 1529 15.46
Lazio 302305 7967 9 0.11 2.64 308 38 1129 814 10.22
Marche 122650 6763 1 0.01 5.51 19 0 601 994 14.70
Campania 242662 4613 0 0.00 1.90 57 2 273 430 9.32
Puglia 151482 4516 0 0.00 2.98 48 2 353 535 11.85
P.A. Trento 104696 4448 0 0.00 4.25 2 0 64 465 10.45
Sicilia 182514 3460 2 0.06 1.90 32 4 806 280 8.09
Friuli Venezia Giulia 162440 3297 1 0.03 2.03 14 0 99 343 10.40
Abruzzo 92874 3280 1 0.03 3.53 67 3 468 457 13.93
P.A. Bolzano 76661 2611 0 0.00 3.41 8 1 93 292 11.18
Umbria 83435 1437 1 0.07 1.72 8 1 18 77 5.36
Sardegna 70202 1365 2 0.15 1.94 13 0 33 132 9.67
Valle d’Aosta 16764 1191 0 0.00 7.10 6 0 10 144 12.09
Calabria 83281 1162 0 0.00 1.40 18 0 36 97 8.35
Molise 19368 439 0 0.00 2.27 1 0 65 23 5.24
Basilicata 35666 401 0 0.00 1.12 0 1 10 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54146 92 0.17 5269 27 0.52 9.73 6342.01 617.15 1 in 158
Ontario 34174 188 0.55 2595 16 0.62 7.59 2322.89 176.39 1 in 430
Alberta 7482 29 0.39 151 0 0.00 2.02 1695.39 34.22 1 in 590
British Columbia 2756 11 0.40 168 0 0.00 6.10 539.24 32.87 1 in 1854
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 684 1 0.15 13 0 0.00 1.90 578.84 11.00 1 in 1728
Manitoba 304 0 0.00 7 0 0.00 2.30 220.69 5.08 1 in 4531
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 163 3 1.88 2 0 0.00 1.23 208.98 2.56 1 in 4785
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1628 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1112 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Beijing 731 9 1.23
Shanghai 695 7 1.01
Jiangsu 653 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 362 1 0.28
Hebei 336 6 1.79
Shaanxi 313 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 196 3 1.53
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 152 2 1.32
Gansu 149 2 1.34
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6533.41 357.47 1 in 153
Brazil 4410.84 216.15 1 in 227
Russia 3769.72 50.34 1 in 265
India 264.42 8.89 1 in 3782
United Kingdom 4509.33 632.96 1 in 222
Spain 5236.35 581.57 1 in 191
Italy 3926.92 568.87 1 in 255
Peru 7371.96 219.33 1 in 136
France 2901.13 441.11 1 in 345
Iran 2371.11 111.69 1 in 422
Germany 2273.85 106.53 1 in 440
Chile 10218.78 187.42 1 in 98
Turkey 2243.51 59.92 1 in 446
Mexico 1198.63 141.72 1 in 834
Pakistan 785.58 15.10 1 in 1273
Saudi Arabia 4138.28 31.94 1 in 242
Canada 2689.20 220.03 1 in 372
Bangladesh NA NA 1 in NA
China 60.91 3.35 1 in 16418
Qatar 31101.55 30.31 1 in 32

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 210591 22145 10.52
Cook Illinois 85538 4253 4.97
Los Angeles California 75162 2960 3.94
Nassau New York 41290 2170 5.26
Suffolk New York 40738 1957 4.80
Westchester New York 34358 1405 4.09
Philadelphia Pennsylvania 24591 1518 6.17
Middlesex Massachusetts 23269 1765 7.59
Miami-Dade Florida 22741 847 3.72
Wayne Michigan 21805 2675 12.27
Maricopa Arizona 20775 568 2.73
Suffolk Massachusetts 19367 952 4.92
Hudson New Jersey 19238 1289 6.70
Bergen New Jersey 18901 1673 8.85
Essex New Jersey 18388 1751 9.52
Harris Texas 17707 289 1.63
Prince George’s Maryland 17499 644 3.68
Passaic New Jersey 16664 1006 6.04
Middlesex New Jersey 16474 1085 6.59
Fairfield Connecticut 16359 1350 8.25
Union New Jersey 16320 1130 6.92
Essex Massachusetts 15667 1052 6.71
Dallas Texas 14843 293 1.97
Montgomery Maryland 13709 698 5.09
Rockland New York 13460 665 4.94
Fairfax Virginia 13103 428 3.27
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12078 1046 8.66
Worcester Massachusetts 12014 877 7.30
Riverside California 11694 395 3.38
Oakland Michigan 11372 1069 9.40
Hartford Connecticut 11261 1330 11.81
Marion Indiana 10834 654 6.04
Orange New York 10580 473 4.47
Hennepin Minnesota 10323 724 7.01
District of Columbia District of Columbia 9818 520 5.30
San Diego California 9730 323 3.32
Milwaukee Wisconsin 9658 352 3.64
Broward Florida 9498 358 3.77
Ocean New Jersey 9279 826 8.90
Palm Beach Florida 9262 438 4.73
Clark Nevada 9157 380 4.15
Lake Illinois 9133 386 4.23
Orange California 8999 233 2.59
Norfolk Massachusetts 8892 891 10.02
King Washington 8850 595 6.72
Monmouth New Jersey 8786 687 7.82
Plymouth Massachusetts 8514 629 7.39
DuPage Illinois 8495 432 5.09
Jefferson Louisiana 8468 471 5.56

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc